The use of medical imaging and modern technologies in coordinated patient care.
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Abstract Introduction and Objective. Coordinated care, launched nationwide in Poland in 2022, is a team-based model in which the general practitioner (GP) coordinates an individualized plan with specialists in nursing, dietetics, and other allied health carers to speed diagnostics, align treatment and monitor chronic disease. The aim of the review is to assess the technologies that enable this model – particularly diagnostic imaging, telemedicine and artificial intelligence (AI – together with data standards (HL7, DICOM; HIS/RIS/PACS), and the legal context. Review Methods. A narrative review conducted in line with PRISMA principles. Major databases were searched for publications on coordinated/integrated care and enabling technologies, screened titles/abstracts, assessed full texts for relevance to imaging, telemedicine and AI, and synthesized findings on interoperability standards and regulation. Brief description of the state of knowledge. Imaging underpins timely, accurate decisions along coordinated pathways; telemedicine broadens access to assessment, follow-up and education; and AI increasingly supports triage, reporting and workflow. Effective use depends on interoperable data exchange and archiving (HL7, DICOM) within clinical systems (HIS/ RIS/PACS), robust privacy and security, and clear assignment of responsibilities under applicable law. Summary. Coordinated care in Poland is a promising, team-based model that enhances access to diagnostics, strengthens treatment coordination and improves chronic-disease monitoring. Its potential is amplified by diagnostic imaging, telemedicine and AI, supported by interoperable standards (HL7, DICOM) and integrated information systems (HIS, RIS, PACS). To realize this potential safely and at scale, appropriate legal and technical standards must be ensured to enable secure, dynamic development of this holistic form of patient care. Key words: telemedicine, medical imaging, coordinated care, artificial intelligence, multidisciplinary teams
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| Rekord utworzony: | 4 lutego 2026 08:41 |
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| Ostatnia aktualizacja: | 9 lutego 2026 08:15 |